The AI layoffs end in 12 months and I know why
In a Nutshell
Cloudflare's CEO laid off 1,100 employees after a record $639M quarter, citing AI-driven 100x productivity gains that eliminate "support roles" like backups, now replaced by tools like Claude as mediocre substitutes. The Jevons Paradox won't explode software demand short-term but will unlock the long tail of ad hoc internal tools (dashboards, bots), enabling leaner teams—though companies will soon rehire once efficiencies max out. To survive layoffs, brand yourself as an "AI wizard" orchestrating 10+ agents on your resume and personal website (70% marketing, 30% skills), not a hybrid who codes by hand.
These notes were generated by AI and may contain inaccuracies.
On the recent Cloudflare earnings call, CEO Matthew Prince announced two things: the company had its best quarter in its 16-year history with $639 million in revenue, and they were laying off 1,100 people (just shy of 1,111 that Matthew wanted, but staff stopped him). He said, "Congratulations, team. We had our best quarter in the history of the company. And also, we're firing one in five of you. So, thank you. Thank you all for your hard work. Here is your severance."
An analyst asked why lay off so many after the best quarter ever. Matthew replied, "Just because you're fit, it doesn't mean you can't get fitter."
He said employees have become 100 times more productive, comparing them to going from a manual to an electric screwdriver. He noted productivity gains from people directly creating code have been incredible, and many support roles behind them won't drive companies going forward.
"The productivity gains from the people directly creating code have been incredible and a lot of the support roles behind them are not going to be the roles that drive companies going forward."
Support roles refer to reserves or backups hired for redundancy—like a bench in sports. Companies hired them as insurance against star players getting injured, quitting, or going on vacation, especially when one person held institutional knowledge. Smaller companies were vulnerable.
Sign in to read the full notes
Get access to AI-generated notes, topic timestamps, and more.